Lelonthecodeur/humanizer-5m
Humanizer-5M Version: 2.0.0 Humanizer-5M is a synthetic conversational adaptation dataset. The central objective is not simply to rewrite text to sound casual. Each example models: what the user explicitly asks, what the user may implicitly need, the user's conversational signals, the appropriate response calibration, the final response, quality and stability metrics. The dataset specifically teaches proportional adaptation. High user energy does not automatically mean high… See the full description on the dataset page: https://huggingface.co/datasets/Lelonthecodeur/humanizer-5m.
| Author / organization | Lelonthecodeur |
|---|---|
| Downloads | 557 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 18 September 2026 |
| Last updated at source | 18 September 2026 |
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